Metadata-Version: 1.1
Name: pyDiscreteProbability
Version: 0.7.1dev
Summary: Discrete probability learning and inference in Python.
Home-page: http://pypi.python.org/pypi/pyDiscreteProbability/
Author: Viet Nguyen
Author-email: vnguyen@cs.ucla.edu
License: LICENSE.txt
Description: =====================
        pyDiscreteProbability
        =====================
        
        Description
        -----------
        
        pyDiscreteProbability provides a number of classes and functions for dealing
        with discrete probabilities. These include joint probability tables
        (``JointTable``), conditional probability tables (``ConditionalTable``), and
        Bayesian networks.
        
        This module is not intended for any production and/or scientific use. It was
        developed for my own learning purposes thus serves a primarily education
        purpose. The demands of production of scientific use, such as good numerical
        conditioning and good verification and validation coverage are not guaranteed.
        
        Examples
        --------
        
        A simple example can be found at http://nbviewer.ipython.org/5883568.
        
        
Platform: UNKNOWN
Classifier: Topic :: Education
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Programming Language :: Python
